How much does marine litter weigh? A literature review to improve monitoring, support modelling and optimize clean-up activities
Environmental Pollution,
Journal Year:
2024,
Volume and Issue:
361, P. 124863 - 124863
Published: Aug. 30, 2024
The
weight
of
marine
litter
has
been
marginally
considered
in
comparison
to
counting
and
categorizing
items.
However,
determines
dynamics
on
water
coasts,
it
is
an
essential
parameter
for
planning
optimizing
clean-up
activities.
This
work
reviewed
80
publications
that
reported
both
the
number
beached
macro-litter
worldwide.
On
average,
a
item
weighed
19.5
±
20.3
g,
with
median
13.4
g.
Plastics
composed
80%
by
51%
global
bulk.
A
plastic
12.9
13.8
g
9
analysis
based
continents
bodies
returned
similar
values,
which
can
be
used
estimate
beaches
from
past
future
visual
census
surveys,
remote
sensing
imagery.
Overall,
this
improve
monitoring
reports
support
modelling,
thereby
contributing
environmental
protection
mitigation
efforts.
Language: Английский
Monitoring macroplastics in aquatic and terrestrial ecosystems: Expert survey reveals visual and drone-based census as most effective techniques
The Science of The Total Environment,
Journal Year:
2024,
Volume and Issue:
955, P. 176528 - 176528
Published: Sept. 25, 2024
Language: Английский
Use of Drone Remote Sensing to Identify Increased Marine Macro-Litter Contamination following the Reopening of Salgar Beach (Colombian Caribbean) during Pandemic Restrictions
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5399 - 5399
Published: June 25, 2024
This
study
involves
an
integrated
and
innovative
approach
employing
high-frequency
monitoring,
which
is
rare
in
studies
focusing
on
solid
waste
beaches.
Eight
drone
flights
were
performed
over
a
tourist
beach
the
Colombian
Caribbean
to
achieve
two
main
objectives:
(i)
quantify
changes
marine
macro-litter
(>2.5
cm)
density,
differences
between
period
when
was
closed
due
COVID-19
pandemic
subsequent
reopening
period;
(ii)
map
abundance
of
coast,
with
emphasis
single-use
waste.
The
number
items
litter
increased
9-fold
periods,
found
crisp/sweet
packets
(n
=
304,
13%
total
waste),
plastic
cups
248,
11%),
expanded
polystyrene
(food
containers)
227,
10%).
factors
contributing
presence
distribution
tourists,
use
beach,
offshore
wind
direction.
results
revealed
that
Salgar
Beach
can
be
considered
exporter
since
incorporated
into
longshore
current
redistributed
either
nearby
beaches
or
ocean.
emphasizes
potential
for
using
images
monitoring
as
well
efficiency
programs
combatting
at
sea.
Language: Английский
Developing a harmonized decision framework for shoreline marine debris monitoring across APEC economies
Marine Pollution Bulletin,
Journal Year:
2025,
Volume and Issue:
215, P. 117877 - 117877
Published: April 3, 2025
Language: Английский
Spatiotemporal variation in marine litter distribution along the Bulgarian Black Sea sandy beaches: amount, composition, plastic pollution, and cleanliness evaluation
Frontiers in Marine Science,
Journal Year:
2024,
Volume and Issue:
11
Published: June 18, 2024
The
threat
of
anthropogenic
marine
litter,
particularly
plastic
pollution,
to
ecosystems
and
human
health,
has
spurred
mitigation
initiatives
global
scientific
research.
Following
the
Marine
Strategy
Framework
Directive
guidelines,
this
study
evaluated
litter
distribution,
cleanliness,
pollution
indices
along
Bulgarian
Black
Sea
beaches
in
2023.
survey
integrates
visual
assessment,
manual
sampling,
drone
mapping,
distributing
coastline
encompass
a
broader
range,
totaling
45,
including
28
remote/natural,
10
semi-urban,
7
urban
beaches.
Results
indicate
48%
decrease
distribution
on
from
1462
±
147
items/100
m
2021
753
97
2023,
with
Artificial
polymer
materials/plastic
materials
constituting
88.62%
total
amount.
A
comprehensive
macro
assessment
was
carried
out
using
PAI
for
first
time.
In
average
cleanliness
status
classified
as
“
moderate
”
(CCI:
7.61
1.00),
clean
northern
central
contrasting
dirty
southern
Urbanized
were
assessed
highest
level
(PAI
AV,23
:
5.51;
CCI
18.16).
long
term,
maintain
values
AV,18-23
8.81
0.89,
2.35
0.32,
persisting
throughout
period,
necessitating
ongoing
monitoring
intervention
strategies.
Despite
identifying
significant
number
beaches,
none
meet
EU
threshold
value
20
m.
This
highlights
urgent
need
effective
interventions
combat
accumulation
or
semi-urban
emphasizing
multi-stakeholder
collaboration
sustainable
solutions
coastal
ecosystem
preservation.
Language: Английский
Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing
Waste Management,
Journal Year:
2024,
Volume and Issue:
186, P. 271 - 279
Published: June 28, 2024
Cities
are
a
major
source
of
litter
pollution.
Determination
the
abundance
and
composition
plastic
in
cities
is
imperative
for
effective
pollution
management,
environmental
protection,
sustainable
urban
development.
Therefore,
here,
multidisciplinary
approach
to
quantify
classify
environments
proposed.
In
present
study,
data
collection
was
integrated
via
Pirika
smartphone
application
conducted
image
analysis
based
on
deep
learning.
launched
May
2018
and,
date,
has
collected
approximately
one
million
images.
Visual
classification
revealed
that
most
common
types
were
cans,
bags,
bottles,
cigarette
butts,
boxes,
sanitary
masks,
order.
The
top
six
categories
accounted
80
%
total,
whereas
three
more
than
60
total
imaged
litter.
A
deep-learning
processing
algorithm
developed
automatically
identify
categories.
Both
precision
recall
derived
from
model
higher
75
%,
enabling
proper
categorization.
quantity
automated
also
plotted
map
using
location
acquired
concurrently
with
images
by
application.
Conclusively,
this
study
demonstrates
citizen
science
supported
applications
learning-based
can
enable
visualization,
quantification,
characterization
street
cities.
Language: Английский